CVE-2026-56062 in Quotes llama Plugin
Summary
by MITRE • 06/26/2026
Unauthenticated SQL Injection in Quotes llama <= 3.1.5 versions.
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Analysis
by VulDB Data Team • 06/26/2026
This vulnerability represents a critical security flaw in the Quotes llama application affecting versions up to and including 3.1.5 where an unauthenticated attacker can execute arbitrary SQL commands through improper input validation. The vulnerability stems from insufficient sanitization of user-supplied data when processing quote requests or administrative functions, allowing malicious actors to inject SQL payloads directly into database queries without requiring any authentication credentials. This type of weakness falls under CWE-89 which specifically addresses SQL injection vulnerabilities where attacker-controlled data is incorporated into SQL commands without proper validation or escaping mechanisms.
The technical implementation of this vulnerability occurs when the application accepts user input through web forms, API endpoints, or parameterized requests and directly incorporates that data into SQL query constructions without appropriate parameterization or input filtering. Attackers can exploit this by crafting malicious payloads that manipulate the database query structure to extract sensitive information, modify database records, or even execute administrative commands on the underlying database system. The impact is particularly severe because the vulnerability does not require authentication, meaning any remote attacker can potentially exploit it without needing valid credentials.
Operationally, this vulnerability creates significant risk for organizations using affected versions of Quotes llama as it provides attackers with unrestricted access to the application's backend database. Depending on the database configuration and permissions assigned to the application's database user, attackers may be able to extract all stored quotes, user credentials, personal information, or other sensitive data. The vulnerability can also enable attackers to modify or delete existing records, potentially causing data integrity issues or complete system compromise if the database user has elevated privileges. This type of attack aligns with ATT&CK technique T1071.004 which covers application layer protocol manipulation and T1190 which addresses exploitation of vulnerabilities in remote services.
Mitigation strategies should immediately involve upgrading to a patched version of Quotes llama beyond 3.1.5 where the SQL injection vulnerability has been addressed through proper input validation and parameterized query implementations. Organizations should also implement web application firewalls to detect and block common SQL injection patterns, conduct thorough input validation at multiple layers including API endpoints and database interfaces, and ensure that database users have minimal required privileges. Additionally, regular security assessments including automated scanning and manual penetration testing should be conducted to identify similar vulnerabilities in other components of the application stack. The remediation process should also include comprehensive logging and monitoring of database access patterns to detect potential exploitation attempts and maintain audit trails for forensic analysis purposes.